|
| 1 | +--- |
| 2 | +title: "Randomization with Flexible Block Sizes with randomforge" |
| 3 | +author: "Friedrich Pahlke" |
| 4 | +date: "`r Sys.Date()`" |
| 5 | +output: rmarkdown::html_vignette |
| 6 | +vignette: > |
| 7 | + %\VignetteIndexEntry{Randomization with Flexible Block Sizes with randomforge} |
| 8 | + %\VignetteEngine{knitr::rmarkdown} |
| 9 | + %\VignetteEncoding{UTF-8} |
| 10 | +--- |
| 11 | + |
| 12 | +```{r setup, include = FALSE} |
| 13 | +knitr::opts_chunk$set( |
| 14 | + collapse = TRUE, |
| 15 | + comment = "#>" |
| 16 | +) |
| 17 | +``` |
| 18 | + |
| 19 | +## Introduction |
| 20 | + |
| 21 | +This vignette provides a practical example for **randomforge**. |
| 22 | +It demonstrates: |
| 23 | + |
| 24 | +- How to define treatment arms |
| 25 | +- How to configure project-level randomization |
| 26 | +- How do you implement permuted block randomization (PBR) with a fixed starting |
| 27 | + block size and continuation with variable block sizes |
| 28 | +- How to perform quality control of random values |
| 29 | +- How to extract and inspect the generated randomization list |
| 30 | + |
| 31 | +```{r, include = FALSE} |
| 32 | +knitr::opts_chunk$set(echo = TRUE) |
| 33 | +options(scipen = 999) |
| 34 | +``` |
| 35 | + |
| 36 | +## Loading the randomforge Package |
| 37 | + |
| 38 | +```{r} |
| 39 | +library(randomforge) |
| 40 | +``` |
| 41 | + |
| 42 | +## Trial Setup |
| 43 | + |
| 44 | +### Treatment Arms |
| 45 | + |
| 46 | +```{r} |
| 47 | +treatmentArmIds = c("Treatment", "Control") |
| 48 | +``` |
| 49 | + |
| 50 | +### Maximum Number of Subjects per Center |
| 51 | + |
| 52 | +```{r} |
| 53 | +maxNumberOfSubjects <- 40 |
| 54 | +``` |
| 55 | + |
| 56 | +### Seed |
| 57 | + |
| 58 | +The seeds in this example will be generated via |
| 59 | +[random.org](https://www.random.org/) |
| 60 | + |
| 61 | +```{r} |
| 62 | +#| eval: FALSE |
| 63 | +seed <- createSeed() |
| 64 | +seed |
| 65 | +``` |
| 66 | + |
| 67 | +```{r} |
| 68 | +#| echo: FALSE |
| 69 | +seed <- 1379678 |
| 70 | +seed |
| 71 | +``` |
| 72 | + |
| 73 | +## Creating Project and Configuration |
| 74 | + |
| 75 | +```{r} |
| 76 | +randomDataBase <- getRandomDataBase() |
| 77 | +
|
| 78 | +randomProject <- getRandomProject(name = "Flexible PBR Example Trial") |
| 79 | +randomDataBase$persist(randomProject) |
| 80 | +
|
| 81 | +randomConfiguration <- getRandomConfiguration( |
| 82 | + randomProject = randomProject, |
| 83 | + treatmentArmIds = treatmentArmIds, |
| 84 | + seed = seed |
| 85 | +) |
| 86 | +randomDataBase$persist(randomConfiguration) |
| 87 | +
|
| 88 | +ravService <- getRandomAllocationValueService() |
| 89 | +``` |
| 90 | + |
| 91 | +## Initial Randomization Using Fixed Block Size |
| 92 | + |
| 93 | +### Define Initial Block Length |
| 94 | + |
| 95 | +```{r, message = FALSE} |
| 96 | +initialBlockLength <- 8 |
| 97 | +randomMethod <- getRandomMethodPBR( |
| 98 | + blockSizes = getBlockSizes(treatmentArmIds, initialBlockLength) |
| 99 | +) |
| 100 | +for (i in 1:initialBlockLength) { |
| 101 | + suppressMessages(getNextRandomResult( |
| 102 | + randomDataBase, randomProject, randomMethod, ravService |
| 103 | + )) |
| 104 | +} |
| 105 | +``` |
| 106 | + |
| 107 | +## Variable Block Sizes for Remaining Subjects |
| 108 | + |
| 109 | +### Define Candidate Block Sizes |
| 110 | + |
| 111 | +```{r} |
| 112 | +blockSizes <- getBlockSizes(treatmentArmIds, c(4, 6)) |
| 113 | +blockSizeRandomizer <- getRandomBlockSizeRandomizer( |
| 114 | + blockSizes = blockSizes, |
| 115 | + seed = 2758500) |
| 116 | +blockSizeRandomizer$initRandomValues(numberOfBlockSizes = length(blockSizes)) |
| 117 | +``` |
| 118 | + |
| 119 | +### Randomize Remaining Subjects |
| 120 | + |
| 121 | +```{r, message = FALSE} |
| 122 | +randomMethod <- getRandomMethodPBR( |
| 123 | + blockSizes = blockSizes, |
| 124 | + fixedBlockDesignEnabled = FALSE, |
| 125 | + blockSizeRandomizer = blockSizeRandomizer |
| 126 | +) |
| 127 | +
|
| 128 | +for (i in 1:(maxNumberOfSubjects - initialBlockLength)) { |
| 129 | + suppressMessages(getNextRandomResult( |
| 130 | + randomDataBase, randomProject, randomMethod, ravService |
| 131 | + )) |
| 132 | +} |
| 133 | +``` |
| 134 | + |
| 135 | +## Quality Control |
| 136 | + |
| 137 | +### Distribution of Used Random Values |
| 138 | + |
| 139 | +```{r} |
| 140 | +plot(ravService) |
| 141 | +``` |
| 142 | + |
| 143 | +No significant deviation from a uniform distribution is detected (p > 0.05). |
| 144 | + |
| 145 | +### Distribution of All Generated Random Values |
| 146 | + |
| 147 | +```{r} |
| 148 | +plot(ravService, usedValuesOnly = FALSE) |
| 149 | +``` |
| 150 | + |
| 151 | +## Output: Randomization List |
| 152 | + |
| 153 | +```{r} |
| 154 | +randomList <- as.data.frame(randomDataBase) |
| 155 | +knitr::kable(randomList) |
| 156 | +``` |
| 157 | + |
| 158 | +## System Information |
| 159 | + |
| 160 | +- System: `r R.version.string` |
| 161 | +- randomforge version: `r packageVersion("randomforge")` |
| 162 | +- Platform: `r R.version$platform` |
| 163 | +- Working directory: `r getwd()` |
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